A method synthesis of selection function scalar convolutions for the multi-objective decision-making problems

  • Sergiy V. Сhernysh
  • Ievgen S. Meniailov
  • Kateryna M. Ugryumova
  • Mykhaylo L. Ugryumov
Keywords: mathematical modeling; stochastic optimization; computational methods

Abstract

The statement of the estimation problem for selection functions and sought values in multi-objective problems is considered. The authors propose a method of synthesis of selection function scalar convolutions in multi-objective problems of mathematical model identification, optimization and decision-making. The types of scalar convolutions of selection functions have been obtained, which are specific to some practical problems of such kind. Application of the scalar convolutions as a tool for solution synthesis with the help of regularizing algorithms provides the stable effective estimates of values sought when data are a priori uncertain.

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Published
2015-10-26
How to Cite
СhernyshS. V., Meniailov, I. S., Ugryumova, K. M., & Ugryumov, M. L. (2015). A method synthesis of selection function scalar convolutions for the multi-objective decision-making problems. Bulletin of V.N. Karazin Kharkiv National University, Series «Mathematical Modeling. Information Technology. Automated Control Systems», 27, 172-180. Retrieved from https://periodicals.karazin.ua/mia/article/view/14208
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